数字人文中的可视化

doi:10.11959/j.issn.2096-0271.2022085

大数据 ›› 2022, Vol. 8 ›› Issue (6): 74-93.doi: 10.11959/j.issn.2096-0271.2022085

• 专题：面向人文领域的大数据技术和方法 • 上一篇下一篇

数字人文中的可视化

罗煜楚¹, 吴昊¹, 郭宇涵¹, 谭绍聪¹, 刘灿¹, 蒋瑞珂¹, 袁晓如¹^,²

¹ 北京大学智能学院机器感知与智能教育部重点实验室，北京 100871
² 北京大学大数据分析与应用技术国家工程实验室，北京 100871

出版日期:2022-11-15 发布日期:2022-11-01
作者简介:罗煜楚（1999- ），男，北京大学智能学院机器感知与智能教育部重点实验室博士生，主要研究方向为数字人文可视化与时空可视化
吴昊（1997- ），男，北京大学智能学院机器感知与智能教育部重点实验室硕士生，主要研究方向为数字人文可视化
郭宇涵（2002- ），女，北京大学智能学院机器感知与智能教育部重点实验室本科生，主要研究方向为文本可视化与数字人文可视化
谭绍聪（1998- ），男，北京大学智能学院机器感知与智能教育部重点实验室硕士生，主要研究方向为智能可视化系统和可视化组件
刘灿（1996- ），男，北京大学智能学院机器感知与智能教育部重点实验室博士生，主要研究方向为深度学习驱动的可视化
蒋瑞珂（1994- ），男，北京大学智能学院机器感知与智能教育部重点实验室博士生，主要研究方向为表格可视化与可视化变换
袁晓如（1975- ），男，博士，北京大学智能学院研究员、博士生导师，机器感知与智能教育部重点实验室副主任，大数据分析与应用技术国家工程实验室常务副主任，中国计算机学会杰出会员，主要研究方向为可视化与可视分析。现任《大数据》期刊编委，中国图象图形学学会理事、可视化与可视分析专业委员会主任
基金资助:
国家自然科学基金资助项目(62272012);国家自然科学基金资助项目(61872013)

Visualization in digital humanities

Yuchu LUO¹, Hao WU¹, Yuhan GUO¹, Shaocong TAN¹, Can LIU¹, Ruike JIANG¹, Xiaoru YUAN¹^,²

¹ Key Laboratory of Machine Perception (Ministry of Education), and School of Intelligence Science and Technology, Peking University, Beijing 100871, China
² National Engineering Laboratory of Big Data Analysis and Applications, Peking University, Beijing 100871, China

Online:2022-11-15 Published:2022-11-01
Supported by:
The National Natural Science Foundation of China(62272012);The National Natural Science Foundation of China(61872013)

摘要/Abstract

摘要：

信息技术的发展推动了科学研究范式的转变。近年来，社科人文领域也逐渐发展出了数据驱动的研究方式。从可视化的角度，对国际数字人文大会论文进行分析，从任务、数据和应用视角3个层面总结了当前可视化在数字人文中的应用现状。通过分析从人文、可视化技术、艺术3种角度出发的数字人文项目，揭示了多学科交叉对提高数字人文与可视化结合项目质量的巨大潜力。同时，分享了北京大学在探究这种多学科交叉合作新范式的实践，包括交叉人才的教育、学科交叉融合的科普以及相关智能可视化技术的研究等方面。最后讨论了通过探索更好的人与人之间合作及人与计算机之间的协作来促进数字人文与可视化学科交叉发展的展望。

关键词: 可视化, 数字人文, 学科交叉, 教育, 社科人文大数据

Abstract:

The development of information technology has promoted the generation of a new scientific research paradigm.Social sciences and humanities have gradually developed a data-driven research method in recent years.From the perspective of visualization, the current status of visualization applications in digital humanities was summarized from three levels, task, data, and application, through the analysis of papers at the digital humantites conference organized by alliance of digital humanities organizations.By analyzing different projects setup by different experts with different backgrounds, i.e., humanities, visualization, and art.The great potential of multidisciplinary cooperation to improve the quality of digital humanities plus visualization projects was revealed.The practice of Peking University in exploring this new paradigm of multidisciplinary cooperation in digital humanities plus visualization was shared, which included education in multidisciplinary, practice experience on promotion, and research experience in intelligent visualization.Finally, two ways for the future development of the interdiscipline between digital humanity and visualization were revealed, the cooperation between experts and the collaboration between humans and computers.

Key words: visualization, digital humanities, multidisciplinary, education, big data in social science and humanities

中图分类号:

TP391

罗煜楚, 吴昊, 郭宇涵, 谭绍聪, 刘灿, 蒋瑞珂, 袁晓如. 数字人文中的可视化[J]. 大数据, 2022, 8(6): 74-93.

Yuchu LUO, Hao WU, Yuhan GUO, Shaocong TAN, Can LIU, Ruike JIANG, Xiaoru YUAN. Visualization in digital humanities[J]. Big Data Research, 2022, 8(6): 74-93.

图/表 9

图1

图2

图3

图4

图5

图6

图7

图8

图9

参考文献 30

[1]	SCHREIBMAN S , SIEMENS R , UNSWORTH J . A companion to digital humanities[M]. Hoboken: John Wiley ＆Sons, 2008.
[2]	王军 . 从人文计算到可视化:数字人文的发展脉络梳理[J]. 文艺理论与批评, 2020(2): 18-23.
	WANG J . From humanities computing to visualization:a survey of the development of digital humanities[J]. Theory and Criticism of Literature and Art, 2020(2): 18-23.
[3]	DEFANTI T A , BROWN M D . Visualization in scientific computing[J]. Advances in Computers, 1991,33: 247-307.
[4]	TUFTE E R . The visual display of quantitative information[J]. Journal for Healthcare Quality, 1985,7(3): 15.
[5]	THOMAS J J , COO K K A . Illuminating the path:the research and development agenda for visual analytics[M].[S.l.:s.n.], 2005.
[6]	HOCKEY S . The history of humanities computing[M]// A companion to digital humanities. Malden: Blackwell Publishing Ltd., 2004: 1-19.
[7]	BUSA R . The annals of humanities computing:the index thomisticus[J]. Medicina Nei Secoli, 1980,17(3): 443-459.
[8]	李卓群, 林泽斐 . 数字人文组织联盟的建设与启示[J]. 数字图书馆论坛, 2022(9): 63-69.
	LI Z Q , LIN Z F . The construction and enlightenment of the alliance of digital humanities organizations[J]. Digital Library Forum, 2022(9): 63-69.
[9]	COLLINS C , VIEGAS F B , WATTENBERG M . Parallel tag clouds to explore and analyze faceted text corpora[C]// Proceedings of 2009 IEEE Symposium on Visual Analytics Science and Technology. Piscataway:IEEE Press, 2009: 91-98.
[10]	TERRAS M . Crowdsourcing in the digital humanities[M]// A new companion to digital humanities. New York: John Wiley＆ Sons, 2015: 420-438.
[11]	KOHLHAMMER J , MAY T , HOFFMANN M . Visual analytics for the strategic decision making process[C]// Proceedings of the GeoSpatial Visual Analytics.Dordrecht:Springer. 2009: 299-310.
[12]	J?NICKE S , FRANZINI G , CHEEMA M F ,et al. Visual text analysis in digital humanities[J]. Computer Graphics Forum, 2017,36(6): 226-250.
[13]	J?NICKE S , GE?NER A , FRANZINI G ,et al. TRAViz:a visualization for variant graphs[J]. Digital Scholarship in the Humanities, 2015.
[14]	KEIM D A , OELKE D . Literature fingerprinting:a new method for visual literary analysis[C]// Proceedings of 2007 IEEE Symposium on Visual Analytics Science and Technology. Piscataway:IEEE Press, 2007: 115-122.
[15]	CANON C , BOYLE D , HEPWORTH K . Ethical and effective visualization of knowledge networks[J]. Digital Humanities Quarterly, 2022.
[16]	MCGUFFIN M J , BALAKRISHNAN R . Interactive visualization of genealogical graphs[C]// Proceedings of IEEE Symposium on Information Visualization. Piscataway:IEEE Press, 2005: 16-23.
[17]	LENARDO I D , DESCOMBES A . Repopulating Paris:massive extraction of 4 million addresses from city directories between 1839 and 1922[C]// Proceedings of the Digital Humanities Conference 2019.[S.l.:s.n.], 2019.
[18]	DONALDSON C , GREGORY I , TAYLOR J E . Implementing corpus analysis and GIS to examine historical accounts of the English Lake District[J]. Historical Atl as, 2017: 152-172.
[19]	EL KHATIB R , SCHAEBEN M . Why map literature? Geospatial prototyping for literary studies and digital humanities[J]. Le Champ Numérique, 2020,10(1).
[20]	GRANDJEAN M , JACOMY M . Translating networks:assessing correspondence between network visualisation and analytics[C]// Proceedings of the Digital Humanities Conference 2019.[S.l.:s.n.], 2019.
[21]	Harvard Univer sity, Academia Sinica, Peking University. China biographical database[Z]. 2018.
[22]	包弼德, 王宏苏, 傅君劢 ,等. “中国历代人物传记资料库”(CBDB)的历史、方法与未来[J]. 数字人文研究, 2021,1(1): 21-33.
	BOL P K , WANG H S , FULLER M A ,et al. The history,methods,and future of the China biographical database (CBDB) project[J]. Digital Humanities Research, 2021,1(1): 21-33.
[23]	BASTIAN M , HEYMANN S , JACOMY M . Gephi: an open source software for exploring and manipulating networks[C]// Proceedings of the International AAAI Conference on Web and Social Media. California:AAAI Press, 2009,3(1): 361-362.
[24]	BORGATTI S P , EVERETT M G , FREEMAN L C . UCINET for Windows:software for social network analysis[J]. Analytic Technologies, 2002,6: 12-15.
[25]	SCHICH M , SONG C M , AHN Y Y ,et al. A network framework of cultural history[J]. Science, 2014,345(6196): 558-562.
[26]	ALHARBI M , LARAMEE R S , CHEESMAN T . TransVis:integrated distant and close reading of Othello translations[J]. IEEE Transactions on Visualization and Computer Graphics, 2022,28(2): 1397-1414.
[27]	XIANG F , ZHU S S , WANG Z G ,et al. Enhanced family tree:evolving research and expression[C]// Proceedings of ACM SIGGRAPH 2020 Art Gallery. New York:ACM Press, 2020: 367-373.
[28]	LAI C F , LIN Z X , JIANG R K ,et al. Automatic annotation synchronizing with textual description for visualization[C]// Proceedings of 2020 CHI Conference on Human Factors in Computing Systems. New York:ACM Press, 2020: 1-13.
[29]	LIU C , XIE L W H , HAN Y ,et al. AutoCaption:an approach to generate natural language description from visualization automatically[C]// Proceedings of 2020 IEEE Pacific Visualization Symposium. Piscataway:IEEE Press, 2020: 191-195.
[30]	LIU C , HAN Y , JIANG R K ,et al. ADVISor: automatic visualization answer for natural-language question on tabular data[C]// Proceedings of 2021 IEEE 14th Pacific Visualization Symposium. Piscataway:IEEE Press, 2021: 11-20.

数字人文中的可视化

Visualization in digital humanities

在线阅读

PDF下载

可视化

摘要/Abstract

引用本文

使用本文

图/表 9

参考文献 30

相关文章 15

Metrics

推荐阅读 0

[1]	钱海红, 王茂异, 熊贇. 高等教育数字化转型的现状与发展研究[J]. 大数据, 2023, 9(3): 56-70.
[2]	吴亚东, 陈家鸣, 罗焱, 王学锋, 黄德春, 倪超, 蓝集明, 李随群, 张巍瀚, 代唯. 彩灯元宇宙研究综述[J]. 大数据, 2023, 9(3): 97-113.
[3]	刘烨, 成伟, 李焱, 尹依梦, 孙慧杰. 元宇宙视域下教育社区构建研究[J]. 大数据, 2023, 9(1): 78-86.
[4]	于亚秀, 李欣. 数字人文视域中的古籍文本标注方法研究——以MARKUS为例[J]. 大数据, 2022, 8(6): 15-25.
[5]	郑童哲恒, 李斌, 冯敏萱, 常博林, 王东波. 历史典籍的结构化探索——《史记·列传》数字人文知识库的构建与可视化研究[J]. 大数据, 2022, 8(6): 40-55.
[6]	陈静. 人文大数据及其在数字人文领域中的应用[J]. 大数据, 2022, 8(6): 3-14.
[7]	关海山, 郑玉龙, 魏笔凡, 张泽民, 岳浩, 师斌, 董博. 税收优惠政策关键要素抽取与可视化分析[J]. 大数据, 2022, 8(5): 106-123.
[8]	范良, 张晓蓉, 吴亚东, 陈呈, 王昉. 一种基于sort-last架构的非结构网格并行体可视化算法[J]. 大数据, 2021, 7(4): 117-129.
[9]	温景熙, 于胡飞, 辛江, 唐艳. 基于深度学习的大脑性别差异分析[J]. 大数据, 2021, 7(4): 130-140.
[10]	陈超, 吴亚东, 付朝帅, 童兴, 李攀, 褚琦凯, 王雪楠. 中国白酒文化可视化研究[J]. 大数据, 2021, 7(2): 78-98.
[11]	杨琳, 王炜, 诸纪, 王明政. 面向数据共享的教育数据标准体系研究与建设实践[J]. 大数据, 2020, 6(6): 3-13.
[12]	柴唤友, 刘三女牙, 康令云, 张雅娴, 李卿, 刘智. 教育大数据采集机制与关键技术研究[J]. 大数据, 2020, 6(6): 14-25.
[13]	贺相春, 郭绍青. 基于数据智能的区域教育大平台建设与应用实践[J]. 大数据, 2020, 6(6): 40-51.
[14]	乐洁玉, 罗超洋, 丁静姝, 李卿. 教育大数据隐私保护机制与技术研究[J]. 大数据, 2020, 6(6): 52-63.
[15]	王扬, 田野, 李铁山, 陈俊龙, 彭东成, 周义华. 基于Gephi的航运招聘信息可视化分析[J]. 大数据, 2018, 4(3): 81-91.